IOWA Wild
GP: 65 | W: 27 | L: 30 | OTL: 8 | P: 62
GF: 187 | GA: 166 | PP%: 25.32% | PK%: 78.74%
DG: Martin Gagnon | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #843 vs BELLEVILLE Senators
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1David Kampf0X100.0064418663787584628165607762696742996902551,500,000$
2Owen Tippett0X100.007145896579828164596263666561648699690212750,000$
3Yakov Trenin0X100.006448886581757366706362646665637199680232750,000$
4Joseph Cramarossa0X100.005970665773898656525454555775685599650271750,000$
5Yannick Veilleux0X100.006452815879807857525559565873675299650271750,000$
6Tanner Kaspick0X100.006147885574848256595354575563625899630225800,000$
7Peter Holland0XX100.005689607081505070706565506561537099610292750,000$
8Matej Stransky (R)0X100.005338706980505761305259515760507199590272750,000$
9Matt Bartkowski0X100.006247876177838059305858625180725399680323750,000$
10Mark Alt0X100.006547895987767458305757605377795799670283750,000$
11Keegan Lowe0X100.006356815779878956305551544673775699660271750,000$
12Konrad Abeltshauser (R)0X100.0049357860884540493034285548605571995002711,500,000$
Rayé
MOYENNE D'ÉQUIPE100.00615180628073736049565659576865629964
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue100.00767270857574767574767575815799690
2Eric Comrie100.00756866727473757473757469736699660
3Antoine Bibeau100.00706058866968706968706971755999630
Rayé
MOYENNE D'ÉQUIPE100.0074676581737274737274737276619966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx68686868737364CAN542300,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Yakov TreninIOWA Wild (MIN)C6533427552200581422658217712.45%1995014.6214511290000235166.01%117410031.5815000763
2Mark AltIOWA Wild (MIN)D6524436710560165822317114010.39%138168825.9891120105129000184310.00%033010.7900000234
3Yannick VeilleuxIOWA Wild (MIN)LW653235675210064522156515314.88%1292514.253361529000003259.02%6100031.4511000471
4Matt BartkowskiIOWA Wild (MIN)D65243660-2260137922387417310.08%148178527.46118191121410000100510.00%025030.6700000333
5Keegan LoweIOWA Wild (MIN)D651443571569521890168641258.33%177171726.42881690121000082000.00%013000.6600010225
6Peter HollandIOWA Wild (MIN)C/LW6523234622320112762117314810.90%45106816.4423518270000480058.14%4300000.8601000341
7Joseph CramarossaIOWA Wild (MIN)C65122032183009310112231919.84%42101915.680002130000311156.59%85710000.6300000106
8Matej StranskyIOWA Wild (MIN)RW651218302514023451133910110.62%86219.5700000000003059.46%3700000.9600000121
9Konrad AbeltshauserIOWA Wild (MIN)D6571724-3140566110739836.54%131138521.3147115790000075220.00%000000.3500000000
Stats d'équipe Total ou en Moyenne58518127745818927159267411670538119110.84%7201116219.08384482410582000144522861.83%21728110100.8227010232724
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Eric ComrieIOWA Wild (MIN)65273080.9342.433945281602420281630.840256501127
Stats d'équipe Total ou en Moyenne65273080.9342.433945281602420281630.840256501127


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Antoine BibeauIOWA Wild (MIN)G265/1/1994No97 Kg191 CMNoNoNo2Pro & Farm750,000$158,898$500,000$105,932$0$0$No750,000$Lien
David KampfIOWA Wild (MIN)C251/12/1995No85 Kg188 CMNoNoNo5Pro & Farm1,500,000$317,797$750,000$158,898$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Eric ComrieIOWA Wild (MIN)G257/6/1995No80 Kg185 CMNoNoNo5Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$750,000$750,000$Lien
Joseph CramarossaIOWA Wild (MIN)C2710/26/1992No87 Kg183 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Keegan LoweIOWA Wild (MIN)D273/29/1993No87 Kg188 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Konrad AbeltshauserIOWA Wild (MIN)D279/2/1992Yes102 Kg196 CMNoNoNo1Pro & Farm1,500,000$317,797$1,500,000$317,797$0$0$No
Louis DomingueIOWA Wild (MIN)G283/6/1992No95 Kg191 CMNoNoNo5Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$750,000$750,000$Lien
Mark AltIOWA Wild (MIN)D2810/18/1991No91 Kg193 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Matej StranskyIOWA Wild (MIN)RW277/11/1993Yes95 Kg191 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$
Matt BartkowskiIOWA Wild (MIN)D326/4/1988No90 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Owen TippettIOWA Wild (MIN)RW212/16/1999No94 Kg185 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Peter HollandIOWA Wild (MIN)C/LW291/14/1991No93 Kg188 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Tanner KaspickIOWA Wild (MIN)C221/28/1998No91 Kg183 CMNoNoNo5Pro & Farm800,000$169,492$750,000$158,898$0$0$No800,000$800,000$800,000$800,000$Lien
Yakov TreninIOWA Wild (MIN)C231/13/1997No91 Kg188 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Yannick VeilleuxIOWA Wild (MIN)LW272/22/1993No89 Kg188 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1526.2791 Kg188 CM2.67853,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
2Yannick VeilleuxYakov Trenin26122
3Peter HollandJoseph CramarossaMatej Stransky23122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt31122
2Keegan LoweKonrad Abeltshauser26122
3Matt BartkowskiMark Alt23122
4Keegan LoweKonrad Abeltshauser20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Yannick VeilleuxYakov Trenin45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Yakov Trenin45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Matt BartkowskiMark Alt55122
245122Keegan LoweKonrad Abeltshauser45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Yakov Trenin45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt BartkowskiMark Alt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt BartkowskiMark Alt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joseph Cramarossa, , Peter HollandJoseph Cramarossa, Peter Holland
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Bartkowski, Mark Alt, Keegan LoweMatt BartkowskiMark Alt, Keegan Lowe
Tirs de Pénalité
, , , Yakov Trenin,
Gardien
#1 : Eric Comrie, #2 :
Lignes d'Attaque Perso. en Prol.
, , , Yakov Trenin, , Yannick Veilleux, Yannick Veilleux, Joseph Cramarossa, , Peter Holland, Matej Stransky
Lignes de Défense Perso. en Prol.
Matt Bartkowski, Mark Alt, Keegan Lowe, Konrad Abeltshauser,


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1BAKERSFIELD Condors32100000826321000008260000000000040.667814220271674371265335756064965158642150.00%30100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
2BELLEVILLE Senators330000001931622000000132111100000061561.000193352017167437895335756064982316504375.00%30100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
3BINGHAMTON Devils1010000025-3000000000001010000025-300.00022400716743722533575606495572153133.33%10100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
4BRIDGEPORT Sound Tigers2020000048-41010000024-21010000024-200.0004711007167437445335756064979181233500.00%50100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
5BROOKLYN Wolfpack2010000135-21000000123-11010000012-110.250369007167437575335756064962166354125.00%3166.67%0661167539.46%817241433.84%35491238.82%147210821753418722353
6CAROLINA Checkers2200000014311110000007071100000073441.0001421350171674377153357560649501543811100.00%20100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
7CHICAGO Wolves312000001112-100000000000312000001112-120.333111728007167437975335756064913245265715746.67%11463.64%0661167539.46%817241433.84%35491238.82%147210821753418722353
8COLORADO Eagles2020000008-81010000005-51010000003-300.000000007167437255335756064999311434300.00%7271.43%0661167539.46%817241433.84%35491238.82%147210821753418722353
9GRAND RAPIDS Griffins2010000146-21000000123-11010000023-110.25046100071674373453357560649772621347342.86%7271.43%0661167539.46%817241433.84%35491238.82%147210821753418722353
10HERSEY Bears2010001045-11010000013-21000001032120.500459007167437745335756064973231230300.00%6183.33%0661167539.46%817241433.84%35491238.82%147210821753418722353
11LAVAL Rocket1000010023-11000010023-10000000000010.50024600716743727533575606494211012300.00%000.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
12LEHIGH VALLEY Phantoms60600000417-132020000006-640400000411-700.000459107167437109533575606492388820931700.00%9366.67%0661167539.46%817241433.84%35491238.82%147210821753418722353
13MANITOBA Moose10000010321100000103210000000000021.0003470071674373853357560649325215100.00%10100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
14MILWAUKEE Admirals21000100642110000005231000010012-130.750610160071674374353357560649842310235120.00%5180.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
15ONTARIO Reign50401000717-103020100059-42020000028-620.20071118207167437128533575606492047614888112.50%7271.43%0661167539.46%817241433.84%35491238.82%147210821753418722353
16PROVIDENCE Bruins2010010048-41010000014-31000010034-110.25046100071674373553357560649891612237228.57%5180.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
17ROCKFORD IceHogs330000002281411000000734220000001551061.00022345600716743711453357560649963814549444.44%7271.43%0661167539.46%817241433.84%35491238.82%147210821753418722353
18SAN ANTONIO Rampage210010001248110000008171000100043141.0001216280071674374153357560649902212182150.00%50100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
19SAN DIEGO Gulls2200000016016110000009091100000070741.0001625410271674371115335756064929122811100.00%10100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
20SCRANTON Penguins2020000016-5000000000002020000016-500.0001120071674373653357560649902712237114.29%6266.67%0661167539.46%817241433.84%35491238.82%147210821753418722353
21STOCKTON Flames64101000151144210100098122000000633100.83315264101716743716153357560649201593610514214.29%18383.33%0661167539.46%817241433.84%35491238.82%147210821753418722353
22SYRACUSE Crunch50300101716-92010000147-33020010039-620.20071017007167437845335756064922470185513323.08%8275.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
23TORONTO Marlies220000001028110000006241100000040441.000101727017167437855335756064952194337342.86%20100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
24TUSCON Roadrunners201010005501010000023-11000100032120.5005813007167437475335756064982294324125.00%10100.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
25UTICA Comets2010010046-21010000012-11000010034-110.25047110071674374053357560649962410329222.22%4175.00%0661167539.46%817241433.84%35491238.82%147210821753418722353
Total65213004523187166213212130211397742333917024109092-2620.477187295482387167437173853357560649242373528110241543925.32%1272778.74%0661167539.46%817241433.84%35491238.82%147210821753418722353
_Since Last GM Reset65213004523187166213212130211397742333917024109092-2620.477187295482387167437173853357560649242373528110241543925.32%1272778.74%0661167539.46%817241433.84%35491238.82%147210821753418722353
_Vs Conference3912210211295100-519770201251391220514001004461-17330.42395150245357167437995533575606491450464169637922325.00%761876.32%0661167539.46%817241433.84%35491238.82%147210821753418722353
_Vs Division17717021016041199470200135211483100010025205200.58860971570371674374255335756064961618865245421535.71%27581.48%0661167539.46%817241433.84%35491238.82%147210821753418722353

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6562W118729548217382423735281102438
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6521304523187166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32121321139774
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3391724109092
Derniers 10 Matchs
WLOTWOTL SOWSOL
620200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1543925.32%1272778.74%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
533575606497167437
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
661167539.46%817241433.84%35491238.82%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
147210821753418722353


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2021-01-174IOWA Wild8CHICAGO Wolves5WSommaire du Match
2 - 2021-01-1813IOWA Wild0LEHIGH VALLEY Phantoms2LSommaire du Match
3 - 2021-01-1924STOCKTON Flames3IOWA Wild1LSommaire du Match
5 - 2021-01-2141IOWA Wild1LEHIGH VALLEY Phantoms3LSommaire du Match
6 - 2021-01-2248BAKERSFIELD Condors0IOWA Wild5WSommaire du Match
7 - 2021-01-2358IOWA Wild0SYRACUSE Crunch1LXSommaire du Match
8 - 2021-01-2472SYRACUSE Crunch4IOWA Wild3LXXSommaire du Match
10 - 2021-01-2693LEHIGH VALLEY Phantoms3IOWA Wild0LSommaire du Match
13 - 2021-01-29111ONTARIO Reign3IOWA Wild0LSommaire du Match
15 - 2021-01-31125IOWA Wild6ROCKFORD IceHogs3WSommaire du Match
16 - 2021-02-01137STOCKTON Flames1IOWA Wild2WSommaire du Match
17 - 2021-02-02147IOWA Wild1SYRACUSE Crunch3LSommaire du Match
19 - 2021-02-04161BAKERSFIELD Condors2IOWA Wild0LSommaire du Match
20 - 2021-02-05174IOWA Wild0ONTARIO Reign4LSommaire du Match
21 - 2021-02-06186IOWA Wild4STOCKTON Flames3WSommaire du Match
22 - 2021-02-07197LEHIGH VALLEY Phantoms3IOWA Wild0LSommaire du Match
24 - 2021-02-09210IOWA Wild4TORONTO Marlies0WSommaire du Match
25 - 2021-02-10220IOWA Wild2STOCKTON Flames0WSommaire du Match
27 - 2021-02-12232BAKERSFIELD Condors0IOWA Wild3WSommaire du Match
28 - 2021-02-13249ROCKFORD IceHogs3IOWA Wild7WSommaire du Match
30 - 2021-02-15265CAROLINA Checkers0IOWA Wild7WSommaire du Match
31 - 2021-02-16275IOWA Wild2SYRACUSE Crunch5LSommaire du Match
32 - 2021-02-17285IOWA Wild4SAN ANTONIO Rampage3WXSommaire du Match
33 - 2021-02-18297IOWA Wild2LEHIGH VALLEY Phantoms3LSommaire du Match
35 - 2021-02-20310BROOKLYN Wolfpack3IOWA Wild2LXXSommaire du Match
37 - 2021-02-22327SYRACUSE Crunch3IOWA Wild1LSommaire du Match
38 - 2021-02-23342IOWA Wild1MILWAUKEE Admirals2LXSommaire du Match
40 - 2021-02-25352STOCKTON Flames2IOWA Wild3WXSommaire du Match
41 - 2021-02-26365IOWA Wild1LEHIGH VALLEY Phantoms3LSommaire du Match
43 - 2021-02-28380COLORADO Eagles5IOWA Wild0LSommaire du Match
44 - 2021-03-01389IOWA Wild2BRIDGEPORT Sound Tigers4LSommaire du Match
46 - 2021-03-03406BRIDGEPORT Sound Tigers4IOWA Wild2LSommaire du Match
47 - 2021-03-04420IOWA Wild0COLORADO Eagles3LSommaire du Match
48 - 2021-03-05429GRAND RAPIDS Griffins3IOWA Wild2LXXR3Sommaire du Match
50 - 2021-03-07439IOWA Wild1SCRANTON Penguins3LSommaire du Match
51 - 2021-03-08454MILWAUKEE Admirals2IOWA Wild5WSommaire du Match
53 - 2021-03-10469IOWA Wild9ROCKFORD IceHogs2WSommaire du Match
54 - 2021-03-11482TUSCON Roadrunners3IOWA Wild2LSommaire du Match
55 - 2021-03-12493IOWA Wild3TUSCON Roadrunners2WXSommaire du Match
56 - 2021-03-13509SAN ANTONIO Rampage1IOWA Wild8WSommaire du Match
58 - 2021-03-15521IOWA Wild1CHICAGO Wolves2LSommaire du Match
59 - 2021-03-16533STOCKTON Flames2IOWA Wild3WSommaire du Match
61 - 2021-03-18551IOWA Wild1BROOKLYN Wolfpack2LSommaire du Match
62 - 2021-03-19560LAVAL Rocket3IOWA Wild2LXSommaire du Match
64 - 2021-03-21578IOWA Wild2GRAND RAPIDS Griffins3LR3Sommaire du Match
65 - 2021-03-22588TORONTO Marlies2IOWA Wild6WSommaire du Match
66 - 2021-03-23602UTICA Comets2IOWA Wild1LSommaire du Match
67 - 2021-03-24609IOWA Wild0SCRANTON Penguins3LSommaire du Match
70 - 2021-03-27630ONTARIO Reign2IOWA Wild3WXSommaire du Match
71 - 2021-03-28643IOWA Wild3HERSEY Bears2WXXSommaire du Match
72 - 2021-03-29654ONTARIO Reign4IOWA Wild2LSommaire du Match
73 - 2021-03-30665IOWA Wild7CAROLINA Checkers3WSommaire du Match
75 - 2021-04-01671IOWA Wild2BINGHAMTON Devils5LSommaire du Match
76 - 2021-04-02684IOWA Wild2ONTARIO Reign4LSommaire du Match
78 - 2021-04-04698HERSEY Bears3IOWA Wild1LSommaire du Match
79 - 2021-04-05712IOWA Wild2CHICAGO Wolves5LSommaire du Match
81 - 2021-04-07725SAN DIEGO Gulls0IOWA Wild9WSommaire du Match
82 - 2021-04-08744MANITOBA Moose2IOWA Wild3WXXSommaire du Match
84 - 2021-04-10755IOWA Wild3PROVIDENCE Bruins4LXSommaire du Match
85 - 2021-04-11764IOWA Wild6BELLEVILLE Senators1WSommaire du Match
87 - 2021-04-13776BELLEVILLE Senators2IOWA Wild6WSommaire du Match
88 - 2021-04-14790IOWA Wild7SAN DIEGO Gulls0WSommaire du Match
90 - 2021-04-16805PROVIDENCE Bruins4IOWA Wild1LSommaire du Match
91 - 2021-04-17815IOWA Wild3UTICA Comets4LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19830BELLEVILLE Senators0IOWA Wild7WSommaire du Match
94 - 2021-04-20843IOWA Wild-BELLEVILLE Senators-
96 - 2021-04-22855BINGHAMTON Devils-IOWA Wild-
97 - 2021-04-23872CHICAGO Wolves-IOWA Wild-
98 - 2021-04-24883IOWA Wild-BAKERSFIELD Condors-
100 - 2021-04-26900MANITOBA Moose-IOWA Wild-
101 - 2021-04-27909IOWA Wild-MANITOBA Moose-
102 - 2021-04-28920IOWA Wild-BAKERSFIELD Condors-
104 - 2021-04-30932LEHIGH VALLEY Phantoms-IOWA Wild-
105 - 2021-05-01944IOWA Wild-LAVAL Rocket-
107 - 2021-05-03958CHICAGO Wolves-IOWA Wild-
109 - 2021-05-05977BINGHAMTON Devils-IOWA Wild-
110 - 2021-05-06984IOWA Wild-CAROLINA Checkers-
111 - 2021-05-07996IOWA Wild-GRAND RAPIDS Griffins-
113 - 2021-05-091012TORONTO Marlies-IOWA Wild-
116 - 2021-05-121034SCRANTON Penguins-IOWA Wild-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,097,214$ 1,280,000$ 1,175,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,097,214$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 25 10,847$ 271,175$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
348030310193624122615401814012321251012440121700704116125-983241422663449575678236481377177349259876448613432444518.44%2235475.78%01009240641.94%996271436.70%465119338.98%179912672091568982472
348030310193624122615401814012321251012440121700704116125-983241422663449575678236481377177349259876448613432444518.44%2235475.78%01009240641.94%996271436.70%465119338.98%179912672091568982472
3665213004523187166213212130211397742333917024109092-262187295482387167437173853357560649242373528110241543925.32%1272778.74%0661167539.46%817241433.84%35491238.82%147210821753418722353
Total Saison Régulière2258192062381566961851112484104577347276711133351021818322342-20228669113918081116261217177236466215921172152147761922631253371064212920.09%57313576.44%02679648741.30%2809784235.82%1284329838.93%507136185936155526871298